One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

Minimally invasive surgery, including laparoscopic and thoracoscopic procedures, benefits
patients in terms of improved postoperative outcomes and short recovery time. The …

In this paper, we introduce KAZE features, a novel multiscale 2D feature detection and
description algorithm in nonlinear scale spaces. Previous approaches detect and describe …

This paper offers the first variational approach to the problem of dense 3D reconstruction of
non-rigid surfaces from a monocular video sequence. We formulate nonrigid structure from …

Endoscopic procedures form part of routine clinical practice for minimally invasive
examinations and interventions. While they are beneficial for the patient, reducing surgical …

Neural priors are a promising direction to capture low-level vision statistics without relying
on handcrafted regularizers. Recent works have successfully shown the use of neural …

We study a problem that we call Shape-from-Template, which is the problem of
reconstructing the shape of a deformable surface from a single image and a 3D template …

In this paper we tackle the problem of capturing the dense, detailed 3D geometry of generic,
complex non-rigid meshes using a single RGB-only commodity video camera and a direct …

We propose a new approach to simultaneously recover camera pose and 3D shape of non-
rigid and potentially extensible surfaces from a monocular image sequence. For this …

Generative models that produce point clouds have emerged as a powerful tool to represent
3D surfaces, and the best current ones rely on learning an ensemble of parametric …